Must-read papers on graph neural networks (GNN) Must-read papers on GNN GNN: graph neural network Contributed by Jie Zhou, Ganqu Cui, Zhengyan Zhang and Yushi Bai. Content 1. Survey 2. Models 2.1 Basic Models 2.2 Graph Types 2.3 Pooling Methods 2.4 Analysis 2.5 Efficiency 3. Applications 3.1 Physics 3.2 Chemistry and Biology 3.3 Knowledge Graph 3.4 Recommender Systems 3.5 Computer Vision 3.6 Natural Language Processing 3.7 Generation 3.8...
Topics: GitHub, code, software, git
Must-read papers on graph neural networks (GNN) Must-read papers on GNN GNN: graph neural network Contributed by Jie Zhou, Ganqu Cui, Zhengyan Zhang and Yushi Bai. Content 1. Survey 2. Models 2.1 Basic Models 2.2 Graph Types 2.3 Pooling Methods 2.4 Analysis 2.5 Efficiency 3. Applications 3.1 Physics 3.2 Chemistry and Biology 3.3 Knowledge Graph 3.4 Recommender Systems 3.5 Computer Vision 3.6 Natural Language Processing 3.7 Generation 3.8...
Topics: GitHub, code, software, git
